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Variational and Potential Methods for a Class of Linear Hyperbolic Evolutionary Processes 2005 Edition
Contributor(s): Chudinovich, Igor (Author)

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 ISBN: 1852338881     ISBN-13: 9781852338886
Publisher: Springer
OUR PRICE: $52.24  

Binding Type: Hardcover - See All Available Formats & Editions
Published: February 2005
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Additional Information
BISAC Categories:
- Mathematics | Differential Equations - Partial
- Mathematics | Mathematical Analysis
- Mathematics | Functional Analysis
Dewey: 515.353
LCCN: 2004052212
Series: Springer Monographs in Mathematics
Physical Information: 0.5" H x 6.2" W x 9.4" L (0.75 lbs) 148 pages
Features: Bibliography, Index
 
Descriptions, Reviews, Etc.
Publisher Description:
Variational and boundary integral equation techniques are two of the most useful methods for solving time-dependent problems described by systems of equations of the form 2 ? u = Au, 2 't 2 where u = u(x, t) is a vector-valued function, x is a point in a domain inR or 3 R, and A is a linear elliptic di?erential operator. To facilitate a better und- standing of these two types of methods, below we propose to illustrate their mechanisms in action on a speci?c mathematical model rather than in a more impersonal abstract setting. For this purpose, we have chosen the hyperbolic system of partial di?erential equations governing the nonstationary bending of elastic plates with transverse shear deformation. The reason for our choice is twofold. On the one hand, in a certain sense this is a "hybrid" system, c- sistingofthreeequationsforthreeunknownfunctionsinonlytwoindependent variables, which makes it more unusual--and thereby more interesting to the analyst--than other systems arising in solid mechanics. On the other hand, this particular plate model has received very little attention compared to the so-called classical one, based on Kirchho?'s simplifying hypotheses, although, as acknowledged by practitioners, it represents a substantial re?nement of the latter and therefore needs a rigorous discussion of the existence, uniqueness, and continuous dependence of its solution on the data before any construction of numerical approximation algorithms can be contemplated.
 
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